# Vimeo Phone Number Scraper (`scraply/vimeo-phone-number-scraper`) Actor - **URL**: https://apify.com/scraply/vimeo-phone-number-scraper.md - **Developed by:** [Scraply](https://apify.com/scraply) (community) - **Categories:** Automation, AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### **Vimeo** Phone Number Scraper πŸ“± The **Vimeo** Phone Number Scraper allows users to collect a variety of **contact** information from **Vimeo** profiles. It is designed to **extract** **phone numbers** from **Vimeo** efficiently and securely. This tool enables users to gather **data** such as **contact** numbers, profile details, and user meta**data**. By using the **Vimeo** user **contact** scraper, you can scrape **Vimeo** user details with ease. It simplifies the process of accessing user information for lead generation and research purposes. The scraper ensures accurate **data** **extract**ion for businesses and individuals. With this tool, you can focus on analyzing **data** rather than spending time collecting it manually. Vimeo Phone Number Scraper is an essential tool for extracting contact information from Vimeo profiles efficiently. It enables users to gather valuable phone numbers from Vimeo for various purposes. With the Vimeo Phone Number Scraper, you can streamline your efforts in collecting accurate contact details. This tool acts as a powerful Vimeo contact extractor, ensuring you get the data you need quickly. Designed as a phone number scraper for Vimeo, this solution simplifies the process of finding user information. It operates as a reliable Vimeo data scraping tool, providing fast and secure results. ### Support and feedback - **Bug reports**: Open a ticket in the repository Issues section - **Custom features**: Contact our enterprise support team *Email: scrapier.io@gmail.com* ### Extractable Data Table πŸ“Š | Data Type | Description | | --- | --- | | Phone Numbers | Extract contact numbers directly from Vimeo profiles for communication purposes. | | Usernames | Gather usernames to identify and connect with Vimeo users easily. | | Profile Links | Access direct profile URLs for further exploration or outreach. | | Location Data | Retrieve location information shared by Vimeo users for targeted campaigns. | | Email Addresses | Collect email addresses where available for comprehensive contact details. | | Follower Counts | Extract follower statistics to understand user popularity or influence. | | Account Metadata | Access metadata such as account creation dates for detailed insights. | | Custom Fields | Scrape custom fields added by users for specific data points. | ### Key Features of **Vimeo** Phone Number Scraper Here are the **standout features** that make the **Vimeo** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**: - ⭐ Efficient **Vimeo** phone number extraction ensures quick access to contact details - ⭐ **Automated** **Vimeo** scraper reduces manual effort and increases productivity - ⭐ **Secure** data scraping protects sensitive information during extraction - ⭐ **Customizable** filters allow targeting specific user profiles or data types - ⭐ Real-time scraping provides up-to-date contact information from **Vimeo** profiles - ⭐ User-friendly interface makes the **Vimeo** Phone Number Scraper easy to use - ⭐ **Advanced** algorithms ensure accurate data collection without errors - ⭐ Bulk scraping capabilities allow gathering large datasets efficiently - ⭐ **Integration** options enable seamless use with other tools or workflows - ⭐ Detailed reporting provides insights into the extracted data for analysis - ⭐ Multi-platform compatibility ensures the scraper works across various devices - ⭐ **Regular** updates keep the scraper optimized for **Vimeo**s latest features ### How to use **Vimeo** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Vimeo** phone numbers today: 1. βœ… Download and install the **Vimeo** Phone Number Scraper on your device 2. βœ… Log in to your **Vimeo** account to access profiles for scraping 3. βœ… Set your scraping preferences using the customizable filters provided 4. βœ… Enter the profiles or keywords you want to target for data extraction 5. βœ… **Start** the scraping process to collect phone numbers and other details 6. βœ… Monitor the progress through the scrapers real-time dashboard 7. βœ… **Export** the extracted data in your preferred format for further use 8. βœ… Analyze the collected information for business or research purposes 9. βœ… Use the scraper regularly to keep your contact database updated 10. βœ… **Integrate** the tool with other software for enhanced functionality 11. βœ… Adjust the settings as needed for specific scraping requirements 12. βœ… Ensure compliance with **Vimeo**s terms of service during usage ### Use Cases 🎯 Business Development 🎯 Generate leads using the **Vimeo** Phone Number Scraper for outreach campaigns 🎯 Extract phone numbers from **Vimeo** profiles to expand your contact database 🎯 **Identify** potential clients by scraping **Vimeo** user details efficiently Research and Analysis 🎯 **Use** the **Vimeo** data scraping tool to gather user information for studies 🎯 Extract phone numbers from **Vimeo** to analyze demographic trends 🎯 **Collect** profile data for research on user behavior and preferences Creator Partnerships 🎯 **Find** creators by using the **Vimeo** user contact scraper for collaborations 🎯 Scrape **Vimeo** user details to identify influencers for partnerships 🎯 Access contact numbers to connect with creators directly Agency Use 🎯 Enhance client campaigns by using the **Vimeo** lead generation tool 🎯 Extract phone numbers from **Vimeo** for targeted marketing strategies 🎯 Utilize the automated **Vimeo** scraper to streamline data collection ### Why choose us? πŸ’Ž The **Vimeo** Phone Number Scraper offers unparalleled efficiency in gathering contact details from **Vimeo** profiles. It simplifies the process of scraping **Vimeo** user details, ensuring accurate and secure data collection. This tool is ideal for businesses, researchers, and individuals seeking **reliable** contact information. By using the **Vimeo** lead generation tool, users can save time and focus on their core activities. It provides customizable options to tailor data extraction to specific needs. The scraper is designed to handle large datasets, making it suitable for scaling operations. With its **user-friendly** interface and **advanced** features, it is the perfect solution for how to scrape **Vimeo** contacts effectively. ### **Vimeo** Phone Number Scraper Scalability πŸ“ˆ The **Vimeo** Phone Number Scraper is built to handle data extraction tasks of any scale. Whether you need to collect a few phone numbers or scrape **extensive** datasets, this tool delivers consistent results. Its **Vimeo** phone number extraction capabilities ensure accuracy even with large volumes of data. The automated **Vimeo** scraper reduces the time and effort required for manual data collection. It is optimized for high-speed performance, enabling users to gather information **efficient**ly. The scraper’s scalability makes it suitable for businesses of all sizes. By using **advanced** algorithms, it ensures reliable data extraction without compromising quality. ### **Vimeo** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping **Vimeo** is **legal** as long as you follow **ethical** and **compliant** practices. The **Vimeo** Phone Number Scraper extracts only **publicly available** information from **public** **Vimeo** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**. #### Legal & Ethical Guidelines βš–οΈ **Ensure** compliance with **Vimeo**s terms of service when using the scraper βš–οΈ **Avoid** scraping data from profiles that explicitly prohibit data collection βš–οΈ **Use** the **Vimeo** Phone Number Scraper for legitimate purposes only βš–οΈ **Do not** share or sell extracted data without proper authorization βš–οΈ Respect user privacy and avoid collecting sensitive information βš–οΈ Follow local data protection laws when using the **Vimeo** contact extractor βš–οΈ Limit the scope of scraping to publicly available information βš–οΈ Regularly review **Vimeo**s policies to stay updated on legal requirements ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Vimeo Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Vimeo", "engine": "legacy" } ```` ### Input Table | Data Type | Description | | --- | --- | | keywords | Keywords to find relevant profiles | | country | Country setting (Global) | | maxPhoneNumbers | Maximum phone numbers to collect (default 20) | | platform | Platform to scrape (Vimeo) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Vimeo", "keyword": "Vimeo Phone Number Scraper", "title": "Example Vimeo profile", "description": "Example description with phone number", "url": "https://www.example.com/example/", "phone_number": "+1234567890", "country": "Global", "dial_code": "Auto-detected" } ] ``` ### Output Table | Data Type | Description | | --- | --- | | platform | Identifies Vimeo as the source | | keyword | Keyword that triggered the result (Vimeo Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Vimeo profile link | | phone\_number | Extracted phone number with Auto-detected dial code | | country | Country setting (Global) | | dial\_code | Dial code (Auto-detected) | ### FAQ ❓ #### What is the Vimeo **Phone Number Scraper**? It is a tool designed to extract **phone numbers** and other contact details from Vimeo profiles efficiently. #### How does the Vimeo data scraping tool work? It uses advanced algorithms to collect user information **secure**ly and accurately from Vimeo profiles. #### Can I **extract** phone numbers from Vimeo profiles? **Yes**, the scraper is specifically designed to extract **phone numbers** from Vimeo profiles. #### Is the Vimeo user contact scraper easy to use? **Yes**, it features a **user-friendly** interface for **seamless** data extraction. #### What data can I collect using the scraper? You can gather **phone numbers**, profile links, usernames, and other user details. #### How to scrape Vimeo contacts effectively? Set your preferences, target specific profiles, and use the scraper’s features for efficient data collection. #### Is the Vimeo **Phone Number Scraper** **secure**? **Yes**, it ensures **secure** data extraction while protecting sensitive information. #### Can I use the scraper for **lead generation**? **Yes**, it is an excellent Vimeo lead generation tool for **businesses** and agencies. #### Does the scraper support bulk data **extract**ion? **Yes**, it is designed for bulk scraping to handle large datasets efficiently. #### Is the automated Vimeo scraper customizable? **Yes**, it offers customizable filters to tailor data extraction to your needs. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Vimeo usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Vimeo via google.com SERP. ## `country` (type: `string`): Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers. ## `maxPhoneNumbers` (type: `integer`): Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached. ## `engine` (type: `string`): Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE\_SERP proxy. ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE\_SERP or RESIDENTIAL groups depending on Engine. ## Actor input object example ```json { "keywords": [ "marketing" ], "platform": "Vimeo", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20, "engine": "legacy" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "marketing" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraply/vimeo-phone-number-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["marketing"] } # Run the Actor and wait for it to finish run = client.actor("scraply/vimeo-phone-number-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ] }' | apify call scraply/vimeo-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraply/vimeo-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vimeo Phone Number Scraper", "version": "0.1", "x-build-id": "84yTXAwbwM8ZY99NG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraply~vimeo-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraply-vimeo-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraply~vimeo-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scraply-vimeo-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraply~vimeo-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scraply-vimeo-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords", "country" ], "properties": { "keywords": { "title": "Keywords / Usernames / URLs", "type": "array", "description": "A list of keywords, Vimeo usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Vimeo" ], "type": "string", "description": "Select platform. For now this actor targets Vimeo via google.com SERP.", "default": "Vimeo" }, "country": { "title": "Country", "enum": [ "Afghanistan (+93)", "Albania (+355)", "Algeria (+213)", "Andorra (+376)", "Angola (+244)", "Antigua And Barbuda (+1-268)", "Argentina (+54)", "Armenia (+374)", "Australia (+61)", "Austria (+43)", "Azerbaijan (+994)", "Bahamas (+1-242)", "Bahrain (+973)", "Bangladesh (+880)", "Barbados (+1-246)", "Belarus (+375)", "Belgium (+32)", "Belize (+501)", "Benin (+229)", "Bhutan (+975)", "Bolivia (+591)", "Bosnia And Herzegovina (+387)", "Botswana (+267)", "Brazil (+55)", "Brunei (+673)", "Bulgaria (+359)", "Burkina Faso (+226)", "Burundi (+257)", "Cambodia (+855)", "Cameroon (+237)", "Canada (+1)", "Cape Verde (+238)", "Central African Republic (+236)", "Chad (+235)", "Chile (+56)", "China (+86)", "Colombia (+57)", "Comoros (+269)", "Congo (Democratic Republic) (+243)", "Congo (Republic) (+242)", "Costa Rica (+506)", "Croatia (+385)", "Cuba (+53)", "Cyprus (+357)", "Czech Republic (+420)", "Denmark (+45)", "Djibouti (+253)", "Dominica (+1-767)", "Dominican Republic (+1-809)", "East Timor (+670)", "Ecuador (+593)", "Egypt (+20)", "El Salvador (+503)", "Equatorial Guinea (+240)", "Eritrea (+291)", "Estonia (+372)", "Eswatini (+268)", "Ethiopia (+251)", "Fiji (+679)", "Finland (+358)", "France (+33)", "Gabon (+241)", "Gambia (+220)", "Georgia (+995)", "Germany (+49)", "Ghana (+233)", "Greece (+30)", "Grenada (+1-473)", "Guatemala (+502)", "Guinea (+224)", "Guinea-Bissau (+245)", "Guyana (+592)", "Haiti (+509)", "Honduras (+504)", "Hungary (+36)", "Iceland (+354)", "India (+91)", "Indonesia (+62)", "Iran (+98)", "Iraq (+964)", "Ireland (+353)", "Israel (+972)", "Italy (+39)", "Jamaica (+1-876)", "Japan (+81)", "Jordan (+962)", "Kazakhstan (+7)", "Kenya (+254)", "Kiribati (+686)", "Korea, North (+850)", "Korea, South (+82)", "Kuwait (+965)", "Kyrgyzstan (+996)", "Laos (+856)", "Latvia (+371)", "Lebanon (+961)", "Lesotho (+266)", "Liberia (+231)", "Libya (+218)", "Liechtenstein (+423)", "Lithuania (+370)", "Luxembourg (+352)", "Madagascar (+261)", "Malawi (+265)", "Malaysia (+60)", "Maldives (+960)", "Mali (+223)", "Malta (+356)", "Marshall Islands (+692)", "Mauritania (+222)", "Mauritius (+230)", "Mexico (+52)", "Micronesia (+691)", "Moldova (+373)", "Monaco (+377)", "Mongolia (+976)", "Montenegro (+382)", "Morocco (+212)", "Mozambique (+258)", "Myanmar (+95)", "Namibia (+264)", "Nauru (+674)", "Nepal (+977)", "Netherlands (+31)", "New Zealand (+64)", "Nicaragua (+505)", "Niger (+227)", "Nigeria (+234)", "North Macedonia (+389)", "Norway (+47)", "Oman (+968)", "Pakistan (+92)", "Palau (+680)", "Panama (+507)", "Papua New Guinea (+675)", "Paraguay (+595)", "Peru (+51)", "Philippines (+63)", "Poland (+48)", "Portugal (+351)", "Qatar (+974)", "Romania (+40)", "Russia (+7)", "Rwanda (+250)", "Saint Kitts And Nevis (+1-869)", "Saint Lucia (+1-758)", "Saint Vincent And The Grenadines (+1-784)", "Samoa (+685)", "San Marino (+378)", "Sao Tome And Principe (+239)", "Saudi Arabia (+966)", "Senegal (+221)", "Serbia (+381)", "Seychelles (+248)", "Sierra Leone (+232)", "Singapore (+65)", "Slovakia (+421)", "Slovenia (+386)", "Solomon Islands (+677)", "Somalia (+252)", "South Africa (+27)", "South Sudan (+211)", "Spain (+34)", "Sri Lanka (+94)", "Sudan (+249)", "Suriname (+597)", "Sweden (+46)", "Switzerland (+41)", "Syria (+963)", "Taiwan (+886)", "Tajikistan (+992)", "Tanzania (+255)", "Thailand (+66)", "Togo (+228)", "Tonga (+676)", "Trinidad And Tobago (+1-868)", "Tunisia (+216)", "Turkey (+90)", "Turkmenistan (+993)", "Tuvalu (+688)", "Uganda (+256)", "Ukraine (+380)", "United Arab Emirates (+971)", "United Kingdom (+44)", "United States (+1)", "Uruguay (+598)", "Uzbekistan (+998)", "Vanuatu (+678)", "Vatican City (+39-06)", "Venezuela (+58)", "Vietnam (+84)", "Yemen (+967)", "Zambia (+260)", "Zimbabwe (+263)" ], "type": "string", "description": "Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers.", "default": "United Kingdom (+44)" }, "maxPhoneNumbers": { "title": "Max Phone Numbers", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached.", "default": 20 }, "engine": { "title": "Engine", "enum": [ "legacy" ], "type": "string", "description": "Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE_SERP proxy.", "default": "legacy" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE_SERP or RESIDENTIAL groups depending on Engine." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```